the-lambda-group avatar

OmegaAI

the-lambda-group/query-omega-mcp

Connects Claude to OmegaAI workspaces, letting you query data, browse resources, and trigger automations without leaving your MCP client. Runs over streamable HTTP with OAuth 2.0, so you can point it at the hosted endpoint or self-host if needed. Reach for this when you're working with OmegaAI projects and want to pull workspace data, run queries, or kick off workflows directly from Claude instead of switching between tools. The remote transport means no local installation, just authenticate and start sending requests to your OmegaAI instance.

tools
26
transport
HTTP
last updated
May 10, 2026

Tools

26 tools

Public tool metadata for what this MCP can expose to an agent.

omega_storeStore a memory with optional type and metadata. Use when the user says 'remember this' or for programmatic capture (decisions, lessons, errors). Defaults to type 'memory' if event_type is omitted.9 params

Store a memory with optional type and metadata. Use when the user says 'remember this' or for programmatic capture (decisions, lessons, errors). Defaults to type 'memory' if event_type is omitted.

Parameters* required
agent_typestring
Agent type for sub-agent memory scoping (e.g., 'code-reviewer', 'test-runner').
contentstring
Memory content (also accepts 'text' as alias)
entity_idstring
Scope this memory to an entity (e.g., 'acme'). Omit for unscoped.
event_typestring
Type: memory (default), session_summary, task_completion, error_pattern, lesson_learned, decision, user_preference
metadataobject
Additional metadata
priorityinteger
Memory priority 1-5 (5=highest). Auto-set from event type if omitted.
projectstring
session_idstring
textstring
Alias for content — use either content or text
omega_querySearch memories — semantic (default) or exact phrase match. Use mode='phrase' for literal substring search (error messages, specific strings).13 params

Search memories — semantic (default) or exact phrase match. Use mode='phrase' for literal substring search (error messages, specific strings).

Parameters* required
agent_typestring
Filter results to a specific agent type (e.g., 'code-reviewer'). Omit for all.
case_sensitiveboolean
Case-sensitive search (only used with mode='phrase', default false)default: false
context_filestring
Current file being edited (boosts results relevant to this file's context)
context_tagsarray
Current context tags like language, tools (boosts matching results)
entity_idstring
Filter results to a specific entity (e.g., 'acme'). Omit for all.
event_typestring
Filter by event type
filter_tagsarray
Hard filter — only return memories containing ALL specified tags (AND logic)
limitinteger
default: 10
modestring
Search mode: 'semantic' (default) for meaning-based search, 'phrase' for exact substring matchone of semantic · phrase
projectstring
querystring
Search query (or exact phrase when mode='phrase')
session_idstring
temporal_rangearray
Optional [start_iso, end_iso] date range filter. Auto-inferred from query text if omitted.
omega_welcomeGet a session welcome briefing with recent relevant memories and user profile.2 params

Get a session welcome briefing with recent relevant memories and user profile.

Parameters* required
projectstring
session_idstring
omega_profileRead or update the user profile. Returns the profile by default. If 'update' dict is provided, merges those fields into the profile and saves.1 params

Read or update the user profile. Returns the profile by default. If 'update' dict is provided, merges those fields into the profile and saves.

Parameters* required
updateobject
Profile fields to save (merged with existing). Omit to read profile.
omega_delete_memoryDelete a specific memory by its ID.1 params

Delete a specific memory by its ID.

Parameters* required
memory_idstring
The memory ID to delete
omega_edit_memoryEdit the content of a specific memory.2 params

Edit the content of a specific memory.

Parameters* required
memory_idstring
The memory ID to edit
new_contentstring
New content for the memory
omega_list_preferencesList all stored user preferences.

List all stored user preferences.

No parameter schema in public metadata yet.

omega_healthDetailed health check with memory usage, node counts, cache stats, warnings, and recommendations.3 params

Detailed health check with memory usage, node counts, cache stats, warnings, and recommendations.

Parameters* required
critical_mbnumber
Memory critical threshold in MB (default 800)default: 800
max_nodesinteger
Maximum expected nodes (default 10000)default: 10000
warn_mbnumber
Memory warning threshold in MB (default 350)default: 350
omega_backupExport or import memories for backup/restore. Default mode is export.3 params

Export or import memories for backup/restore. Default mode is export.

Parameters* required
clear_existingboolean
Clear current data before import (default true, only used in import mode)default: true
filepathstring
File path for export or import
modestring
Operation mode: 'export' (default) or 'import'default: export
omega_lessonsRetrieve cross-session or cross-project lessons learned, ranked by verification count and access frequency.7 params

Retrieve cross-session or cross-project lessons learned, ranked by verification count and access frequency.

Parameters* required
agent_typestring
Filter lessons to a specific agent type (e.g., 'code-reviewer'). Omit for all.
cross_projectboolean
If true, search across all projects (default false)default: false
exclude_projectstring
Project path to exclude (only used with cross_project=true)
exclude_sessionstring
Session ID to exclude
limitinteger
Max lessons to return (default 5)default: 5
project_pathstring
Optional project scope
taskstring
Optional task description for relevance filtering
omega_feedbackRecord feedback on a surfaced memory (helpful, unhelpful, outdated). Improves future surfacing quality.3 params

Record feedback on a surfaced memory (helpful, unhelpful, outdated). Improves future surfacing quality.

Parameters* required
memory_idstring
The memory node ID to rate
ratingstring
One of: helpful, unhelpful, outdated
reasonstring
Optional explanation
omega_clear_sessionClear all memories for a specific session. Use for cleanup after test sessions.1 params

Clear all memories for a specific session. Use for cleanup after test sessions.

Parameters* required
session_idstring
The session ID to purge
omega_similarFind memories similar to a given memory. Use for discovering related context.2 params

Find memories similar to a given memory. Use for discovering related context.

Parameters* required
limitinteger
Max results (default 5)default: 5
memory_idstring
The memory node ID to find similar memories for
omega_timelineShow memory timeline grouped by day. Use to see what was captured recently.2 params

Show memory timeline grouped by day. Use to see what was captured recently.

Parameters* required
daysinteger
Number of days to look back (default 7)default: 7
limit_per_dayinteger
Max memories per day (default 10)default: 10
omega_consolidateRun memory consolidation: prune stale low-value memories, cap session summaries, clean orphaned edges. Returns a report.2 params

Run memory consolidation: prune stale low-value memories, cap session summaries, clean orphaned edges. Returns a report.

Parameters* required
max_summariesinteger
Max session summaries to keep (default 50)default: 50
prune_daysinteger
Prune zero-access memories older than N days (default 30)default: 30
omega_traverseTraverse the memory relationship graph from a starting memory. Shows all connected memories within N hops, useful for understanding context chains and discovering related knowledge clusters.3 params

Traverse the memory relationship graph from a starting memory. Shows all connected memories within N hops, useful for understanding context chains and discovering related knowledge clusters.

Parameters* required
max_hopsinteger
Maximum traversal depth (1-5, default 2)default: 2
memory_idstring
The starting memory node ID
min_weightnumber
Minimum edge weight to follow (0.0-1.0, default 0.0)default: 0
omega_compactCompact related memories into consolidated knowledge nodes. Finds clusters of similar memories (same event type, high overlap) and creates summary nodes, marking originals as superseded. Reduces noise while preserving knowledge.4 params

Compact related memories into consolidated knowledge nodes. Finds clusters of similar memories (same event type, high overlap) and creates summary nodes, marking originals as superseded. Reduces noise while preserving knowledge.

Parameters* required
dry_runboolean
Preview clusters without compacting (default false)default: false
event_typestring
Event type to compact (default: lesson_learned)default: lesson_learned
min_cluster_sizeinteger
Minimum memories in a cluster to compact (default 3)default: 3
similarity_thresholdnumber
Minimum Jaccard similarity for clustering (0.0-1.0, default 0.6)default: 0.6
omega_checkpointSave a task checkpoint — captures current plan, progress, files touched, decisions, and key context. Use when: (1) context window is getting full, (2) completing a major milestone, (3) before starting a new session for an ongoing task. Checkpoints enable seamless session conti...9 params

Save a task checkpoint — captures current plan, progress, files touched, decisions, and key context. Use when: (1) context window is getting full, (2) completing a major milestone, (3) before starting a new session for an ongoing task. Checkpoints enable seamless session conti...

Parameters* required
decisionsarray
Key technical decisions made during this task
files_touchedobject
Map of file paths to change summaries (e.g., {'src/App.tsx': 'Added routing'})
key_contextstring
Critical context needed to continue — patterns, variable names, API shapes, conventions
next_stepsstring
What should be done next to continue this task
planstring
Current plan or goals — what you're trying to accomplish
progressstring
What's been completed, what's in progress, what remains
projectstring
Project path
session_idstring
Current session ID
task_titlestring
Brief title of the current task (e.g., 'Frontend redesign Phase 2')
omega_resume_taskResume a previously checkpointed task. Retrieves the latest checkpoint with full plan, progress, files, decisions, and next steps. Use at the start of a new session to continue where you left off.4 params

Resume a previously checkpointed task. Retrieves the latest checkpoint with full plan, progress, files, decisions, and next steps. Use at the start of a new session to continue where you left off.

Parameters* required
limitinteger
Number of checkpoints to retrieve (default 1 = latest only)
projectstring
Project path to filter checkpoints
task_titlestring
Title of the task to resume (semantic search — doesn't need to be exact)
verbositystring
How much context to return. 'full' = everything, 'summary' = plan + progress + next steps, 'minimal' = just next stepsone of full · summary · minimal
omega_remindSet a time-based reminder. OMEGA will surface it when the time arrives (at session start or during active sessions). Use for 'remind me in 1 hour to...' requests.5 params

Set a time-based reminder. OMEGA will surface it when the time arrives (at session start or during active sessions). Use for 'remind me in 1 hour to...' requests.

Parameters* required
contextstring
Optional context to include with the reminder (e.g. relevant file paths, decisions)
durationstring
When to remind, e.g. '1h', '30m', '2d', '1w', '1d12h', '2 hours'
projectstring
session_idstring
textstring
What to be reminded about
omega_remind_listList active reminders with their status and due times.1 params

List active reminders with their status and due times.

Parameters* required
statusstring
Filter by status (default: shows pending + fired)one of pending · fired · dismissed · all
omega_remind_dismissDismiss a reminder by its ID. Use after acknowledging a reminder.1 params

Dismiss a reminder by its ID. Use after acknowledging a reminder.

Parameters* required
reminder_idstring
The reminder memory ID to dismiss
omega_type_statsGet memory counts grouped by event type. Shows the composition of the memory store (how many decisions, lessons, errors, etc.).

Get memory counts grouped by event type. Shows the composition of the memory store (how many decisions, lessons, errors, etc.).

No parameter schema in public metadata yet.

omega_session_statsGet memory counts grouped by session. Shows which sessions have contributed the most memories (top 20).

Get memory counts grouped by session. Shows which sessions have contributed the most memories (top 20).

No parameter schema in public metadata yet.

omega_weekly_digestGet a weekly knowledge digest with stats, trends, and highlights. Shows new memories, session count, growth trends, type breakdown, and top topics.1 params

Get a weekly knowledge digest with stats, trends, and highlights. Shows new memories, session count, growth trends, type breakdown, and top topics.

Parameters* required
daysinteger
Number of days to include in the digest (default 7)default: 7
omega_protocolGet your coordination playbook — dynamically assembled operating instructions. Call at session start (step 2 after omega_welcome) or when you need protocol guidance. Returns context-sensitive rules based on project, peer activity, and learned lessons.2 params

Get your coordination playbook — dynamically assembled operating instructions. Call at session start (step 2 after omega_welcome) or when you need protocol guidance. Returns context-sensitive rules based on project, peer activity, and learned lessons.

Parameters* required
projectstring
Current project path for context-sensitive protocol rules.
sectionstring
Specific section or group: 'memory', 'coordination', 'coordination_gate', 'teamwork', 'context', 'reminders', 'diagnostics', 'entity', 'heuristics', 'git', 'what_next'. Groups: 'solo', 'multi_agent...

Sponsors

Readme

Details

Repository
github.com/the-lambda-group/query-omega-mcp
Categories
Cloud & Infrastructure, Automation & Workflows
Transport
HTTP
Registry
MCP registry, active

Related Cloud & Infrastructure MCP servers

View all
1downatthebottomofthemolehole avatarInfracostdownatthebottomofthemolehole/infracost-mcpMCP server for Infracost CLI integration - cloud cost estimates for Infrastructure as Code0stars
2lazymac2x avatarAgent Loop Detectorlazymac2x/agent-loop-detector-apiCloudflare Workers MCP server: agent-loop-detector0stars
3lazymac2x avatarAgent Memorylazymac2x/agent-memory-apiCloudflare Workers MCP server: agent-memory0stars
4lazymac2x avatarAgent Trace Auditorlazymac2x/agent-trace-auditor-apiCloudflare Workers MCP server: agent-trace-auditor0stars
5lazymac2x avatarAgent Workflow Enginelazymac2x/agent-workflow-engine-apiCloudflare Workers MCP server: agent-workflow-engine0stars
6lazymac2x avatarAi Budget Plannerlazymac2x/ai-budget-planner-apiCloudflare Workers MCP server: ai-budget-planner0stars